code: def _make_basic_conv(
      norm_layer=BatchNorm, norm_kwargs=None, **kwargs
  ):
      out = nn.HybridSequential(prefix="")
      out.add(nn.Conv2D(use_bias=False, **kwargs))
      out.add(
          norm_layer(
              epsilon=0.001,
              **({} if norm_kwargs is None else norm_kwargs),
          )
      )
      out.add(nn.Activation("relu"))
      return out
  
file_path: gluon-cv/gluoncv/model_zoo/inception.py
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.contrib.nn import HybridConcurrent
label_desc: Use image node_id 1 for calling a global function with example usage: _make_basic_conv(norm_layer, norm_kwargs) and returns: out